CN117949215A - Engine squeal fault determining method and device, vehicle and storage medium - Google Patents
Engine squeal fault determining method and device, vehicle and storage medium Download PDFInfo
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Abstract
The invention discloses an engine squeal fault determining method, an engine squeal fault determining device, a vehicle and a storage medium. According to the method for determining the howling fault of the whole vehicle, when the whole vehicle runs under the in-situ working condition, the obtained audio data of the target engine position under the in-situ idle load speed-up working condition of the engine is used for analyzing the engine howling index, judging whether the whole vehicle has the howling fault according to the engine howling index, and after judging that the whole vehicle has the howling fault, determining the type of the howling fault of the whole vehicle according to the audio data so as to find the relevant parts corresponding to the howling fault, thereby quickly locking the howling fault parts, facilitating timely replacement and reducing time cost and operation difficulty.
Description
Technical Field
The present invention relates to the field of engine technologies, and in particular, to a method and an apparatus for determining an engine squeal fault, a vehicle, and a storage medium.
Background
Squeal is a type of abnormal sound of an engine, and has certain regularity in most cases, once squeal appears, the technical condition of a certain mechanism of the engine is changed, and 90% of the squeal faults of the engine are related to an engine gear and a supercharger according to fault statistics.
The traditional method for detecting the howling fault of the engine generally needs NVH (Noise, vibration, harshness, noise, vibration and harshness) professional equipment to test, and needs to try to replace parts to detect fault parts.
Disclosure of Invention
The invention provides an engine squeal fault determining method, an engine squeal fault determining device, a vehicle and a storage medium, and aims to solve the problems that the existing engine squeal fault detection is long in time consumption and high in operation difficulty.
According to an aspect of the present invention, there is provided an engine squeal fault determination method including:
When the whole vehicle runs under the in-situ working condition, acquiring audio data of a target engine position under the in-situ idle load speed-up working condition of the engine, and determining tone component parameters and loudness frequency band parameters corresponding to the audio data;
Determining an engine squeal index according to the tone component parameters and the loudness frequency band parameters, and judging whether the whole vehicle has a squeal fault according to the engine squeal index;
And after judging that the whole vehicle has the howling fault, determining the type of the howling fault of the whole vehicle according to the audio data.
Optionally, the determining the engine squeal index according to the tone component parameter and the loudness band parameter includes:
The engine squeal index is determined according to the following formula:
；
Wherein, A squeal index for the engine; /(I)The difference between the ith single-frequency component with a significant peak value in the tone component parameters and the component and critical frequency band; /(I)A relation between the ith single frequency component in the tone component parameter and frequency; /(I)A sound pressure level surplus effect for an ith single frequency component in the tone component parameters; k is an engine squeal index coefficient; n is the audio loudness in the loudness frequency band parameter; /(I)The specific loudness of the critical frequency band in the loudness frequency band parameters is obtained; z is the critical frequency band Bark number in the loudness frequency band parameter; /(I)A weighting function determined from a critical frequency band in the loudness frequency band parameters; n is the number of single frequency components.
Optionally, the determining whether the whole vehicle has a squeal fault according to the engine squeal index includes:
If the engine howling index is larger than the howling index limit value, determining that the whole vehicle has a howling fault;
And if the howling index of the engine is smaller than or equal to the howling index limit value, determining that the whole vehicle has no howling fault.
Optionally, the determining, according to the audio data, the howling fault type of the whole vehicle includes:
Determining basic order gear noise according to the audio data, and judging whether engine gear squeal exists according to the basic order gear noise;
After judging that the engine gear squeal exists, determining that the squeal fault type of the whole vehicle is the engine gear squeal fault, and determining the position of the engine gear with the engine gear squeal according to the loudness frequency band parameter.
Optionally, the determining, according to the audio data, the howling fault type of the whole vehicle includes:
after judging that no engine gear howling exists, determining a noise howling index of the supercharger according to the loudness frequency band parameter, and determining the howling fault type of the whole vehicle according to the noise howling index of the supercharger.
Optionally, the determining the supercharger noise howling index according to the loudness frequency band parameter includes:
The supercharger noise squeal index is determined according to the following formula:
；
Wherein, A squeal index for the supercharger noise; n is the audio loudness in the loudness frequency band parameter; The specific loudness of the critical frequency band in the loudness frequency band parameters is obtained; z is the critical frequency band Bark number in the loudness frequency band parameter; a weighting function determined from a critical frequency band in the loudness frequency band parameters; k is the supercharger squeal index coefficient.
Optionally, the determining the howling fault type of the whole vehicle according to the noise howling index of the supercharger includes:
If the noise howling index of the supercharger is larger than the howling index limit value of the supercharger, determining that the howling fault type of the whole car is a supercharger howling fault;
And if the noise whistle index of the supercharger is smaller than or equal to the whistle index limit value of the supercharger, determining that the whole car has no supercharger whistle fault.
According to another aspect of the present invention, there is provided an engine squeal fault determination apparatus including:
the system comprises an audio data analysis module, a sound data analysis module and a sound data analysis module, wherein the audio data analysis module is used for acquiring audio data of a target engine position under an in-situ idle load speed-up working condition of an engine when the whole vehicle runs under an in-situ working condition, and determining tone component parameters and loudness frequency band parameters corresponding to the audio data according to the audio data;
The howling fault judging module is used for determining an engine howling index according to the tone component parameters and the loudness frequency band parameters and judging whether the whole vehicle has the howling fault according to the engine howling index;
And the howling fault type determining module is used for determining the howling fault type of the whole vehicle according to the audio data after judging that the whole vehicle has the howling fault.
According to another aspect of the present invention, there is provided a vehicle including:
at least one processor; and
A memory communicatively coupled to the at least one processor; wherein,
The memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the engine squeal fault determination method according to any one of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to implement the method for determining an engine squeal fault according to any one of the embodiments of the present invention when executed.
According to the technical scheme, when the whole vehicle runs under the in-situ working condition, the audio data of the target engine position under the in-situ idle load speed-up working condition of the whole vehicle is obtained, the engine squeal index is analyzed, whether the whole vehicle has a squeal fault or not is judged according to the engine squeal index, the squeal fault type of the whole vehicle is determined according to the audio data after the squeal fault of the whole vehicle is judged, and related parts corresponding to the squeal fault are searched, so that the squeal fault part is locked quickly, replacement is convenient in time, and time cost and operation difficulty are reduced.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of an engine squeal fault determination method provided according to a first embodiment of the present invention;
Fig. 2 is a flowchart of an engine squeal fault determination method according to a second embodiment of the present invention;
fig. 3 is a schematic structural view of an engine squeal fault determination device according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of a vehicle implementing an engine squeal fault determination method of an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a flowchart of an engine squeal fault determination method according to an embodiment of the present invention, where the method may be implemented by an engine squeal fault determination device, and the engine squeal fault determination device may be implemented in hardware and/or software, and the engine squeal fault determination device may be configured in a vehicle. As shown in fig. 1, the engine squeal fault determination method includes:
S110, when the whole vehicle runs under the in-situ working condition, acquiring audio data of a target engine position under the in-situ idle load speed-up working condition of the engine, and determining tone component parameters and loudness frequency band parameters corresponding to the audio data.
The abnormal noise of the engine refers to abnormal noise of the engine, and has certain regularity and randomness in most cases, the engine squeal is one type of abnormal noise of the engine, is sharp and harsher noise generated in the running process of the engine, is similar to sharp whistle blowing, and generally, if suspected squeal faults occur on a whole vehicle or a rack, the abnormal noise is expressed in an in-situ idle speed-up working condition. Therefore, the application is based on acquiring the audio data of the engine during the in-situ working condition operation of the whole vehicle, namely acquiring the audio data of the target engine position under the in-situ no-load speed-up working condition of the engine.
The target engine position may be, but is not limited to, a position on the front side of the engine, the left side of the engine, or the right side of the engine, and the target engine position may be selected to be a distance from the engine that may be selected and set by one skilled in the art based on experience. The target engine position may be, for example, a position of one meter in front of the engine, which is not particularly limited in this embodiment.
The audio data may be, but not limited to, acquired by using NVH professional equipment or terminal equipment capable of performing audio acquisition under an in-situ idle load-up working condition of the engine, and the terminal equipment capable of performing audio acquisition may be, but not limited to, a mobile terminal (e.g., a tablet computer, a smart phone, etc.), a wearable device (e.g., a smart watch, a sports bracelet, etc.), which is not particularly limited in this embodiment.
When the whole vehicle runs under the in-situ working condition, the acquired audio data of the target engine position under the in-situ no-load speed-up working condition of the engine can be the set time length for starting to acquire after the engine howling fault is subjectively found, or the set time length for starting to acquire after waiting for a period of time after the engine howling fault is subjectively found, so that more accurate audio data can be acquired.
The above-mentioned set time length may be, but not limited to, set by a person skilled in the art according to the detection requirement, and the set time length may be, for example, 10 seconds or 10 minutes, which is not limited in any way in this embodiment.
The sound is represented in the form of an audio signal having parameters such as frequency, bandwidth, decibels, etc., and a typical audio signal may be represented as a function of amplitude and time, in which embodiment the audio data contains a number of features, and in particular, the audio data may be feature extracted using prior art techniques to obtain pitch component parameters and loudness band parameters corresponding to the audio data.
The pitch component parameters may include, but are not limited to, parameters such as bandwidth, center frequency, and excess level of the pitch component, and the loudness band parameters may include, but are not limited to, parameters such as loudness of audio data, critical bandwidth, and critical bandwidth related parameters, and the method and parameters for obtaining the specific pitch component parameters and loudness band parameters are not particularly limited in this embodiment.
S120, determining an engine squeal index according to the tone component parameters and the loudness frequency band parameters, and judging whether the whole vehicle has squeal faults according to the engine squeal index.
When the engine has howling fault, the noise loudness and the pure tone degree are obviously improved, the loudness reflects the perception of the human ear on the intensity of the sound signal, the larger the loudness value is, the more annoying is felt by the human, the pure tone degree is used for objectively quantifying the obvious single-frequency component contained in the noise, the larger the proportion of the component is, the more the subjective annoyance is caused, and based on the fact, the tone component parameter and the loudness frequency band parameter in the audio data are extracted to serve as the engine howling fault evaluation parameter.
As can be seen, the tone scheduling is a parameter for measuring the proportion of pure tone components in the sound signal spectrum, and in a 4096-point noise FFT spectrum, the ith line spectrum in a critical frequency band rangeIf it is higher than its front-rear line spectrumSimultaneous comparison line spectrum、A dB higher than a certain dB means that the tonal component has a significant peak and is thus considered as a pure tone. According to the application, based on a pure tone calculation model of the rotary machine, the corresponding engine squeal index is calculated by combining the tone component parameter with the loudness frequency band parameter, so that the magnitude of the engine squeal is effectively measured.
Specifically, the engine squeal index limit is formulated according to the noise level of the normal state engine, and the squeal index limit is not particularly limited in this embodiment. On the basis, if the engine howling index is larger than the howling index limit value, determining that the whole vehicle has a howling fault; and if the howling index of the engine is smaller than or equal to the howling index limit value, determining that the whole vehicle has no howling fault.
S130, after the howling fault of the whole vehicle is judged, determining the howling fault type of the whole vehicle according to the audio data.
The howling fault type may be, but is not limited to, an engine gear howling fault, a supercharger howling fault or other howling fault, and in this embodiment, the possible howling faults are sequentially determined to obtain the possible howling fault type of the whole vehicle at this time.
Specifically, after the howling fault of the whole vehicle is judged, the howling fault type is further determined through the collected audio data, and specifically: determining the noise of the basic order gear according to the audio data, and judging whether the squeal of the engine gear exists according to the noise of the basic order gear; and if the engine gear squeal exists, determining that the squeal fault type of the whole vehicle is the engine gear squeal fault, and determining the position of the engine gear with the engine gear squeal according to the loudness frequency band parameter.
Further, after judging that no engine gear howling exists, determining a supercharger noise howling index according to the loudness frequency band parameter, and determining whether a whole vehicle has a supercharger howling fault according to the supercharger noise howling index; and if the existence of the supercharger howling fault is judged, determining that the howling fault type of the whole car is the supercharger howling fault, and determining the supercharger position where the supercharger howling exists according to the loudness frequency band parameter.
On the basis, if no supercharger howling fault is judged, the gear noise and the supercharger noise of the engine are considered to be normal, and at the moment, other howling faults of the same type are considered to exist in the engine, namely, other howling types can be judged through the existing means.
According to the technical scheme, when the whole vehicle runs under the in-situ working condition, the audio data of the target engine position under the in-situ idle load speed-up working condition of the whole vehicle is obtained, the engine squeal index is analyzed, whether the whole vehicle has a squeal fault or not is judged according to the engine squeal index, the squeal fault type of the whole vehicle is determined according to the audio data after the squeal fault of the whole vehicle is judged, and related parts corresponding to the squeal fault are searched, so that the squeal fault part is locked quickly, replacement is convenient in time, and time cost and operation difficulty are reduced.
Example two
Fig. 2 is a flowchart of a method for determining an engine howling fault according to a second embodiment of the present invention, where an alternative implementation manner is provided based on the foregoing embodiment. As shown in fig. 2, the engine squeal fault determination method includes:
S210, when the whole vehicle runs under the in-situ working condition, acquiring audio data of a target engine position under the in-situ idle load speed-up working condition of the engine, and determining tone component parameters and loudness frequency band parameters corresponding to the audio data.
S220, determining an engine squeal index according to the tone component parameter and the loudness frequency band parameter.
It is known that when an engine fails to appear as a squeal, the engine squeal index increases significantly and is strongly correlated with the appearance of the squeal failure, so that the engine squeal index has better indication characteristics for determining the squeal failure.
In this embodiment, the engine squeal index is determined according to the following formula, specifically:
；
Wherein, A squeal index for the engine; /(I)The difference between the ith single-frequency component with a significant peak value in the tone component parameters and the component and critical frequency band; /(I)A relation between the ith single frequency component in the tone component parameter and frequency; /(I)A sound pressure level surplus effect for an ith single frequency component in the tone component parameters; k is an engine squeal index coefficient, generally taking k=0.2; n is the audio loudness in the loudness frequency band parameter; /(I)The specific loudness of the critical frequency band in the loudness frequency band parameters is obtained; z is the critical frequency band Bark number in the loudness frequency band parameter; /(I)A weighting function determined from a critical frequency band in the loudness frequency band parameters; n is the number of single frequency components.
The weighting function according to different critical frequency bands is specifically:
。
s230, judging whether the engine howling index is larger than the howling index limit value, if so, executing step S240, and if not, executing step S250.
S240, determining that the whole vehicle has a howling fault, and executing step S241.
S241, determining the basic order gear noise according to the audio data, judging whether engine gear squeal exists according to the basic order gear noise, if so, executing step S242, and if not, executing step S243.
The application relates to an analysis method for correlating frequency spectrum and time history with rotating speed of a rotating component based on order analysis of a rotating machine, which is used for revealing vibration and noise mechanism.
If the energy characteristics of the corresponding orders of the gears are obvious, namely the energy difference value between the noise of the gears of the basic order and the noise of the whole machine is smaller than a preset limit value Ga, namely the gear train squeal noise is locked to be out of limits, judging that the squeal fault of the gear of the engine exists; if the energy difference between the noise of the basic order gear and the noise of the whole machine is not smaller than the preset limit value Ga, the engine is considered to have no engine gear squeal fault, and whether the supercharger squeal fault exists is further judged at the moment.
The preset limit value Ga may be, but not limited to, selected and set by a person skilled in the art according to the detection requirements, which is not limited in this embodiment.
S242, determining that the howling fault type of the whole vehicle is an engine gear howling fault, and determining the engine gear position where the engine gear howling exists according to the loudness frequency band parameter.
Specifically, the specific position where the engine gear whistle appears is judged according to the specific loudness of the critical frequency band in the loudness frequency band parameter, namely, the positions of the engine gears where the engine gear whistle exists can be compared or ordered according to the specific loudness of different positions of the engine (such as the front side of the engine, the left side of the engine or the right side of the engine, and the like) or the specific loudness difference values of adjacent positions, and the positions of the engine gears where the engine gear whistle exists are locked.
S243, determining a supercharger noise howling index according to the loudness frequency band parameter, judging whether a supercharger howling fault exists according to the supercharger noise howling index, if so, executing step S244, and if not, executing step S245.
Specifically, the supercharger noise howling index is determined according to the following formula, specifically:
；
Wherein, A squeal index for the supercharger noise; n is the audio loudness in the loudness frequency band parameter; The specific loudness of the critical frequency band in the loudness frequency band parameters is obtained; z is the critical frequency band Bark number in the loudness frequency band parameter; a weighting function determined from a critical frequency band in the loudness frequency band parameters; k is a supercharger squeal index coefficient, typically taking k=0.11.
It should be noted that, considering that the supercharger noise frequency is high (typically > 5000 Hz), the critical frequency band Bark number Z in the loudness frequency band parameter may be selected to be 20.
On the basis, if the noise howling index of the supercharger is larger than the howling index limit value of the supercharger, determining that the howling fault type of the whole car is a supercharger howling fault; and if the noise whistle index of the supercharger is smaller than or equal to the whistle index limit value of the supercharger, determining that the whole car has no supercharger whistle fault.
As can be seen, the present embodiment sets the limit value of the noise whistle index of the supercharger according to the noise level of the supercharger of the whole vehicle in the normal state, and the limit value of the noise whistle index of the supercharger is not particularly limited.
S244, determining that the howling fault type of the whole vehicle is a supercharger howling fault.
On the basis of the method, loudness comparison is further carried out on all the audio frequencies of the whole vehicle, if the side loudness of the supercharger is the largest, the noise of the supercharger is locked, and the howling fault type of the whole vehicle is determined to be the howling fault of the supercharger.
S245, determining that the whole vehicle has no supercharger howling fault.
S250, determining that the whole vehicle has no howling fault.
According to the technical scheme, when a suspected engine squeal fault occurs in the whole vehicle, by means of audio data of the engine, whether the squeal fault and the squeal fault type exist in the engine can be rapidly and accurately identified by determining the noise squeal index of the engine and the noise squeal index of the supercharger and combining gear order analysis, the whole vehicle squeal fault can be monitored in the normal running process of the engine, the efficiency of checking the engine squeal fault is improved, the processing cost of the engine squeal fault is reduced, the causative part is locked, the causative part is replaced in time, and the situation that the engine with abnormal noise of the engine is caused to flow into a host machine plant to cause user complaints is avoided.
Example III
Fig. 3 is a schematic structural diagram of an engine squeal fault determination device according to a third embodiment of the present invention. As shown in fig. 3, the engine squeal fault determination device includes:
the audio data analysis module 310 is configured to obtain audio data of a target engine position under an in-situ idle load speed-up working condition of the engine when the whole vehicle runs under an in-situ working condition, and determine a pitch component parameter and a loudness frequency band parameter corresponding to the audio data according to the audio data;
a howling fault judging module 320, configured to determine an engine howling index according to the tone component parameter and the loudness frequency band parameter, and judge whether the whole vehicle has a howling fault according to the engine howling index;
the howling fault type determining module 330 is configured to determine a howling fault type of the whole vehicle according to the audio data after determining that the howling fault exists in the whole vehicle.
Optionally, the determining an engine squeal index according to the tone component parameter and the loudness band parameter is specifically configured to:
The engine squeal index is determined according to the following formula:
；
Wherein, A squeal index for the engine; /(I)The difference between the ith single-frequency component with a significant peak value in the tone component parameters and the component and critical frequency band; /(I)A relation between the ith single frequency component in the tone component parameter and frequency; /(I)A sound pressure level surplus effect for an ith single frequency component in the tone component parameters; k is an engine squeal index coefficient; n is the audio loudness in the loudness frequency band parameter; /(I)The specific loudness of the critical frequency band in the loudness frequency band parameters is obtained; z is the critical frequency band Bark number in the loudness frequency band parameter; /(I)Determining a weighting function for critical bands in accordance with the loudness band parameters; n is the number of single frequency components.
Optionally, the determining whether the whole vehicle has a squeal fault according to the engine squeal index is specifically configured to:
If the engine howling index is larger than the howling index limit value, determining that the whole vehicle has a howling fault;
And if the howling index of the engine is smaller than or equal to the howling index limit value, determining that the whole vehicle has no howling fault.
Optionally, the determining, according to the audio data, a howling fault type of the whole vehicle is specifically configured to:
Determining basic order gear noise according to the audio data, and judging whether engine gear squeal exists according to the basic order gear noise;
After judging that the engine gear squeal exists, determining that the squeal fault type of the whole vehicle is the engine gear squeal fault, and determining the position of the engine gear with the engine gear squeal according to the loudness frequency band parameter.
Optionally, the determining, according to the audio data, a howling fault type of the whole vehicle is specifically configured to:
after judging that no engine gear howling exists, determining a noise howling index of the supercharger according to the loudness frequency band parameter, and determining the howling fault type of the whole vehicle according to the noise howling index of the supercharger.
Optionally, the determining the supercharger noise howling index according to the loudness frequency band parameter is specifically configured to:
The supercharger noise squeal index is determined according to the following formula:
；
Wherein, A squeal index for the supercharger noise; n is the audio loudness in the loudness frequency band parameter; The specific loudness of the critical frequency band in the loudness frequency band parameters is obtained; z is the critical frequency band Bark number in the loudness frequency band parameter; a weighting function determined from a critical frequency band in the loudness frequency band parameters; k is the supercharger squeal index coefficient.
Optionally, the determining the howling fault type of the whole vehicle according to the noise howling index of the supercharger is specifically configured to:
If the noise howling index of the supercharger is larger than the howling index limit value of the supercharger, determining that the howling fault type of the whole car is a supercharger howling fault;
And if the noise whistle index of the supercharger is smaller than or equal to the whistle index limit value of the supercharger, determining that the whole car has no supercharger whistle fault.
The engine squeal fault determination device provided by the embodiment of the invention can execute the engine squeal fault determination method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of executing the engine squeal fault determination method.
Example IV
Fig. 4 shows a schematic structural diagram of a vehicle 410 that may be used to implement an embodiment of the invention. As shown in fig. 4, the vehicle 410 includes at least one processor 411, and a memory, such as a read only memory (ROM 412), a random access memory (RAM 413), etc., communicatively connected to the at least one processor 411, wherein the memory stores computer programs executable by the at least one processor, and the processor 411 can perform various suitable actions and processes according to the computer programs stored in the read only memory (ROM 412) or the computer programs loaded from the storage unit 418 into the random access memory (RAM 413). In the RAM 413, various programs and data required for the operation of the vehicle 410 may also be stored. The processor 411, the ROM 412, and the RAM 413 are connected to each other through a bus 414. An I/O (input/output) interface 415 is also connected to bus 414.
Various components in the vehicle 410 are connected to the I/O interface 415, including: an input unit 416 such as a keyboard, a mouse, etc.; an output unit 417 such as various types of displays, speakers, and the like; a storage unit 418, such as a magnetic disk, optical disk, or the like; and a communication unit 419 such as a network card, modem, wireless communication transceiver, etc. The communication unit 419 allows the vehicle 410 to exchange information/data with other devices through a computer network such as the internet and/or various telecommunication networks.
The processor 411 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 411 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 411 performs the various methods and processes described above, such as the engine squeal fault determination method.
In some embodiments, the engine squeal fault determination method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as storage unit 418. In some embodiments, some or all of the computer program may be loaded and/or installed onto the vehicle 410 via the ROM 412 and/or the communication unit 419. When the computer program is loaded into RAM 413 and executed by processor 411, one or more steps of the engine squeal fault determination method described above may be performed. Alternatively, in other embodiments, the processor 411 may be configured to perform the engine squeal fault determination method in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a vehicle having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or a trackball) by which a user can provide input to the vehicle. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. An engine squeal fault determination method, comprising:
When the whole vehicle runs under the in-situ working condition, acquiring audio data of a target engine position under the in-situ idle load speed-up working condition of the engine, and determining tone component parameters and loudness frequency band parameters corresponding to the audio data;
Determining an engine squeal index according to the tone component parameters and the loudness frequency band parameters, and judging whether the whole vehicle has a squeal fault according to the engine squeal index;
And after judging that the whole vehicle has the howling fault, determining the type of the howling fault of the whole vehicle according to the audio data.
2. The engine squeal fault determination method as set forth in claim 1 wherein the determining an engine squeal index from the tone component parameter and the loudness band parameter includes:
The engine squeal index is determined according to the following formula:
；
Wherein, A squeal index for the engine; /(I)The difference between the ith single-frequency component with a significant peak value in the tone component parameters and the component and critical frequency band; /(I)A relation between the ith single frequency component in the tone component parameter and frequency; /(I)A sound pressure level surplus effect for an ith single frequency component in the tone component parameters; k is an engine squeal index coefficient; n is the audio loudness in the loudness frequency band parameter; /(I)The specific loudness of the critical frequency band in the loudness frequency band parameters is obtained; z is the critical frequency band Bark number in the loudness frequency band parameter; /(I)A weighting function determined from a critical frequency band in the loudness frequency band parameters; n is the number of single frequency components.
3. The engine squeal fault determination method of claim 1 wherein the determining whether the entire vehicle has a squeal fault based on the engine squeal index comprises:
If the engine howling index is larger than the howling index limit value, determining that the whole vehicle has a howling fault;
And if the howling index of the engine is smaller than or equal to the howling index limit value, determining that the whole vehicle has no howling fault.
4. The engine squeal fault determination method of claim 1 wherein the determining the squeal fault type of the entire vehicle from the audio data comprises:
Determining basic order gear noise according to the audio data, and judging whether engine gear squeal exists according to the basic order gear noise;
After judging that the engine gear squeal exists, determining that the squeal fault type of the whole vehicle is the engine gear squeal fault, and determining the position of the engine gear with the engine gear squeal according to the loudness frequency band parameter.
5. The engine squeal fault determination method as set forth in claim 4, wherein the determining the squeal fault type of the entire vehicle from the audio data includes:
after judging that no engine gear howling exists, determining a noise howling index of the supercharger according to the loudness frequency band parameter, and determining the howling fault type of the whole vehicle according to the noise howling index of the supercharger.
6. The engine squeal fault determination method as set forth in claim 5 wherein the determining a supercharger noise squeal index from the loudness band parameter includes:
The supercharger noise squeal index is determined according to the following formula:
；
Wherein, A squeal index for the supercharger noise; n is the audio loudness in the loudness frequency band parameter; /(I)The specific loudness of the critical frequency band in the loudness frequency band parameters is obtained; z is the critical frequency band Bark number in the loudness frequency band parameter; /(I)A weighting function determined from a critical frequency band in the loudness frequency band parameters; k is the supercharger squeal index coefficient.
7. The engine squeal fault determination method of claim 5 wherein the determining the squeal fault type of the entire vehicle based on the supercharger noise squeal index comprises:
If the noise howling index of the supercharger is larger than the howling index limit value of the supercharger, determining that the howling fault type of the whole car is a supercharger howling fault;
And if the noise whistle index of the supercharger is smaller than or equal to the whistle index limit value of the supercharger, determining that the whole car has no supercharger whistle fault.
8. An engine squeal fault determination device, comprising:
the system comprises an audio data analysis module, a sound data analysis module and a sound data analysis module, wherein the audio data analysis module is used for acquiring audio data of a target engine position under an in-situ idle load speed-up working condition of an engine when the whole vehicle runs under an in-situ working condition, and determining tone component parameters and loudness frequency band parameters corresponding to the audio data according to the audio data;
The howling fault judging module is used for determining an engine howling index according to the tone component parameters and the loudness frequency band parameters and judging whether the whole vehicle has the howling fault according to the engine howling index;
And the howling fault type determining module is used for determining the howling fault type of the whole vehicle according to the audio data after judging that the whole vehicle has the howling fault.
9. A vehicle, characterized in that the vehicle comprises:
at least one processor; and
A memory communicatively coupled to the at least one processor; wherein,
The memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the engine squeal fault determination method of any one of claims 1-7.
10. A computer readable storage medium storing computer instructions for causing a processor to implement the engine squeal fault determination method of any one of claims 1-7 when executed.
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Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105136280A (en) * | 2015-09-18 | 2015-12-09 | 华晨汽车集团控股有限公司 | System and method for testing single noise quality in multi-source noise environment |
| CN106671875A (en) * | 2017-01-25 | 2017-05-17 | 哈尔滨工业大学（威海） | Electric car driving system sound acquisition sounding method and device |
| WO2018072186A1 (en) * | 2016-10-20 | 2018-04-26 | 海能达通信股份有限公司 | Howling detection method and device |
| CN108122560A (en) * | 2016-11-28 | 2018-06-05 | 华晨汽车集团控股有限公司 | A kind of system and method for extracting engine noise tone degree |
| CN109920439A (en) * | 2019-03-14 | 2019-06-21 | 西安交通大学 | The variable-speed motor that subtracts based on tone energy and human ear frequency selectivity is uttered long and high-pitched sounds evaluation method |
| CN112562714A (en) * | 2020-11-24 | 2021-03-26 | 潍柴动力股份有限公司 | Noise evaluation method and device |
| CN113899556A (en) * | 2021-09-27 | 2022-01-07 | 上海柴油机股份有限公司 | Method for identifying engine gear squeaking noise |
| US20220108570A1 (en) * | 2020-10-06 | 2022-04-07 | Toyota Jidosha Kabushiki Kaisha | Unusual-noise determination device for vehicle |
| WO2023024361A1 (en) * | 2021-08-25 | 2023-03-02 | 歌尔科技有限公司 | Howling suppression method and apparatus, and in-ear earphones and storage medium |
| RU2791855C1 (en) * | 2022-11-03 | 2023-03-14 | Акционерное общество "АвтоВАЗ" | Method for acoustic research of the intake system of an internal combustion engine |
| CN116952572A (en) * | 2023-05-23 | 2023-10-27 | 哈尔滨东安汽车动力股份有限公司 | Quick diagnosis and optimization method for squeal of transmission or new energy decelerator |
-
2024
- 2024-03-27 CN CN202410354359.2A patent/CN117949215B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105136280A (en) * | 2015-09-18 | 2015-12-09 | 华晨汽车集团控股有限公司 | System and method for testing single noise quality in multi-source noise environment |
| WO2018072186A1 (en) * | 2016-10-20 | 2018-04-26 | 海能达通信股份有限公司 | Howling detection method and device |
| CN108122560A (en) * | 2016-11-28 | 2018-06-05 | 华晨汽车集团控股有限公司 | A kind of system and method for extracting engine noise tone degree |
| CN106671875A (en) * | 2017-01-25 | 2017-05-17 | 哈尔滨工业大学（威海） | Electric car driving system sound acquisition sounding method and device |
| CN109920439A (en) * | 2019-03-14 | 2019-06-21 | 西安交通大学 | The variable-speed motor that subtracts based on tone energy and human ear frequency selectivity is uttered long and high-pitched sounds evaluation method |
| US20220108570A1 (en) * | 2020-10-06 | 2022-04-07 | Toyota Jidosha Kabushiki Kaisha | Unusual-noise determination device for vehicle |
| CN112562714A (en) * | 2020-11-24 | 2021-03-26 | 潍柴动力股份有限公司 | Noise evaluation method and device |
| WO2023024361A1 (en) * | 2021-08-25 | 2023-03-02 | 歌尔科技有限公司 | Howling suppression method and apparatus, and in-ear earphones and storage medium |
| CN113899556A (en) * | 2021-09-27 | 2022-01-07 | 上海柴油机股份有限公司 | Method for identifying engine gear squeaking noise |
| RU2791855C1 (en) * | 2022-11-03 | 2023-03-14 | Акционерное общество "АвтоВАЗ" | Method for acoustic research of the intake system of an internal combustion engine |
| CN116952572A (en) * | 2023-05-23 | 2023-10-27 | 哈尔滨东安汽车动力股份有限公司 | Quick diagnosis and optimization method for squeal of transmission or new energy decelerator |
Non-Patent Citations (1)
| Title |
|---|
| 周宗琳等: "变速箱啸叫噪声源识别研究", 《机械工程与自动化》, no. 02, 30 April 2015 (2015-04-30), pages 156 - 158 * |
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| Publication number | Publication date |
|---|---|
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